通过使用对抗性攻击来缓解社交网络中的意见两极分化.
Michinori Ninomiya1, Genki Ichinose2, Katsumi Chiyomaru3
1Department of Mathematical and Systems Engineering, Shizuoka University, Hamamatsu, 432-8561, Japan.
Scientific reports
|March 17, 2025
概括
这项研究表明,战略性地向社交网络链接添加扰动可以减轻意见两极分化. 这种方法在较大的网络中更有效,提供了一种防止在线社区分裂的方法.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 意见的动态 意见的动态
背景情况:
- 社交网络服务 (SNS) 促进志同道合的人之间的联系.
- 这可能会导致对不同观点的接触减少,意见两极分化增加.
- 现有的研究已经探索了两极化条件,但缺乏缓解策略.
研究的目的:
- 调查人工干扰的潜力,以减轻网络模型中的意见两极分化.
- 为了确定是否对抗激发的干扰可以扭转或减少意见分歧.
主要方法:
- 进行了意见动态模型的数值模拟.
- 引入了对网络链接权重的战略性干扰.
- 分析了扰动强度和网络大小对极化的影响.
主要成果:
- 通过战略性地扰乱网络链接权重,可以有效地缓解意见两极分化.
- 缓解的程度随着应用的扰动的强度而增加.
- 减轻两极分化的拟议方法在较大的网络结构中更有效.
结论:
- 网络链接的战略性干扰提供了一种可行的方法来抵消意见两极分化.
- 这种方法对在线社交网络中培养更多多样化的观点景观有希望.
- 效率与网络大小相增加,这表明它适用于大型平台.
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